One-Ring Channel Model

该数据集采用了单环信道模型来模拟无线通信中的用户配对，并评估了包括所提出的图神经网络（GNN）方法在内的不同调度策略的性能。该数据集包含了在不同信噪比（SNR）水平和用户配置下，比较不同方法所达到的总速率的结果。数据规模设定为K=40，k=4，任务目标是用户配对优化。

This dataset adopts the single-loop channel model to simulate user pairing in wireless communications, and evaluates the performance of different scheduling strategies including the proposed Graph Neural Network (GNN) method. This dataset contains results comparing the sum rates achieved by different methods under various Signal-to-Noise Ratio (SNR) levels and user configurations. The dataset scale is set as K=40 and k=4, with the task objective being user pairing optimization.